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  • Level names in multi-level index are ignored · 3 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1259441952 https://github.com/pydata/xarray/issues/5646#issuecomment-1259441952 https://api.github.com/repos/pydata/xarray/issues/5646 IC_kwDOAMm_X85LEY8g benbovy 4160723 2022-09-27T12:34:20Z 2022-09-27T12:34:20Z MEMBER

This is fixed in v2022.6.0

```python xr.testing.assert_allclose(b, c)

AssertionError: Left and right DataArray objects are not close

Coordinates only on the left object:

* x (z) int64 0

* y (z) int64 0

Coordinates only on the right object:

* not-y (z) int64 0

* not-x (z) int64 0

print(b == c, "\n")

ValueError: cannot re-index or align objects with conflicting indexes found for the following coordinates: 'z' (2 conflicting indexes)

Conflicting indexes may occur when

- they relate to different sets of coordinate and/or dimension names

- they don't have the same type

- they may be used to reindex data along common dimensions

```

 
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   Level names in multi-level index are ignored 955617411
889209931 https://github.com/pydata/xarray/issues/5646#issuecomment-889209931 https://api.github.com/repos/pydata/xarray/issues/5646 IC_kwDOAMm_X841AERL benbovy 4160723 2021-07-29T14:48:22Z 2021-07-29T14:48:22Z MEMBER

Thanks for the report @MaksimZh!

With the ongoing index refactoring (see https://github.com/pydata/xarray/projects/1), we will be able to fix that:

  • we plan to drop multi-index "virtual" coordinates and expose levels as "real" coordinates instead
  • pandas indexes are being wrapped in xarray.Index subclasses, so we'll be able to check for the level names when comparing indexes
 
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   Level names in multi-level index are ignored 955617411
888945107 https://github.com/pydata/xarray/issues/5646#issuecomment-888945107 https://api.github.com/repos/pydata/xarray/issues/5646 IC_kwDOAMm_X840_DnT MaksimZh 688461 2021-07-29T09:08:58Z 2021-07-29T09:08:58Z NONE

Note that comparison of pandas.MultiIndex instances ignores the names. This may be the cause of the issue.

```python import pandas as pd

a = pd.MultiIndex.from_tuples([(0, 0)], names=["x", "y"]) b = pd.MultiIndex.from_tuples([(0, 0)], names=["not-x", "not-y"])

print(a == b) print(a.names == b.names) ```

Output: [ True] False

 
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   Level names in multi-level index are ignored 955617411

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